Founding Senior AI/ML Engineer in United

• 5+ years of professional software engineering, AI/ML, or related experience building production systems. \n

• Strong expertise in Python, machine learning, and modern AI frameworks. \n

• Hands-on experience with LLMs, generative AI, NLP, embeddings, and RAG architectures. \n

• Experience developing AI agents, intelligent workflows, or model orchestration systems. \n

• Strong understanding of backend engineering, APIs, cloud infrastructure, and scalable system design. \n

• Experience deploying, monitoring, and optimizing AI applications in production. \n

• An entrepreneurial mindset with the ability to move quickly, solve ambiguous problems, and take complete ownership. \n

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Highly Valued: Experience with document intelligence, agentic AI, multimodal models, workflow automation, or early-stage startups.

What if your next role gave you the opportunity to architect an AI platform from the ground up - and help shape the future of an entire company?

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We’re partnering with an ambitious AI technology startup developing a next- platform that transforms complex business processes through intelligent automation, generative AI, and advanced machine learning.

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We’re searching for an exceptional Founding Senior AI/ML Engineer who loves building, thrives in fast-moving environments, and wants to turn cutting-edge AI into powerful, real-world products.

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This isn’t about maintaining existing systems. It’s about building the technology, defining the architecture, and creating something entirely new.

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You’ll work closely with the founding team, own critical engineering decisions, and help bring ambitious AI capabilities to life.

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What You’ll Do

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• Build From the Ground Up: Architect, develop, and deploy scalable, production-grade AI/ML systems. \n

• Pioneer Agentic AI: Develop intelligent agents, LLM-powered workflows, and advanced automation capabilities. \n

• Advance Document Intelligence: Build AI systems that understand, extract, reason over, and process complex documents and unstructured data. \n

• Engineer for Scale: Design robust AI pipelines, model integrations, APIs, and cloud-based infrastructure. \n

• Own the Full Lifecycle: Take ideas from experimentation and prototyping through production deployment and optimization. \n

• Shape the Future: Influence technical architecture, engineering standards, and the long-term AI roadmap alongside the founders. \n

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